ISO 20524-2:2020

Intelligent transport systems — Geographic Data Files (GDF) GDF5.1 — Part 2: Map data used in automated driving systems, Cooperative ITS, and multi-modal transport

Kehtiv alates 27.11.2020
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This document specifies the conceptual and logical data model in addition to the physical encoding formats for geographic databases for Intelligent Transport Systems (ITS) applications and services. This document includes a specification of potential contents of such databases (data dictionaries for Features, Attributes and Relationships), a specification of how these contents are to be represented, and how relevant information about the database itself can be specified (metadata). This document further defines map data used in automated driving systems, Cooperative-ITS, and Multi-modal transport. The focus of this document is firstly on emerging ITS applications and services, such as Cooperative-ITS and automated driving systems, and it emphasizes road, lane and relevant information on road and lane. However, ITS applications and services also require other information in addition to road and road-related information, which are provided as external databases to connect with GDF and to complement each other. Highly defined public transport databases, for instance, are indispensable in multi-modal transport applications and services in particular. Thus, this document focuses secondly on an expansion of the specification to connect with externally existing databases. It is particularly designed to connect a Transmodel (EN 12896-1 and EN 12896-2) conformant public transport database. Typical ITS applications and services targeted by this document are in-vehicle or portable navigation systems, traffic management centres, or services linked with road management systems, including public transport systems. The conceptual data model specified here has a broader focus than ITS applications and services. It is application independent, allowing for future harmonization of this model with other geographic database standards.
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